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<span style="font-family: ArialMT;">Nectar Track</span><br style="font-family: ArialMT;">
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<span style="font-family: ArialMT;">The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), the flagship European machine learning and data science conference (15-19 September 2025), invites submissions
to the Nectar Track.</span><br style="font-family: ArialMT;">
<br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">The goal of the Nectar Track is to offer conference attendees a compact overview of recent scientific advances at the frontier of machine learning and data mining with other disciplines, as already published in related conferences
and journals. For researchers from other disciplines, the Nectar Track offers a place to present their work to the ECML-PKDD community and to raise the community’s awareness of AI and data science results and open problems in their field. We invite senior
and junior researchers to submit summaries of their own work published in various fields, including but not limited to artificial intelligence, generative AI, big data analytics, bioinformatics, cyber security, games, computational linguistics, natural language
processing, large language models, information retrieval, computer vision and image analysis, geoinformatics, health informatics, database theory, human-computer interaction, ethical aspects of artificial intelligence, information and knowledge management,
robotics, pattern recognition, statistics, social network analysis, theoretical computer science, uncertainty in AI, network science, complex systems science, and computationally oriented sociology, economy and biology, as well as critical data science/studies.</span><br style="font-family: ArialMT;">
<br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">Acceptance criteria will also take into account the publication date (no more than 18 months old) and the quality of the conference venue or journal. The authors of accepted papers are expected to attend the conference and
present their work. Accepted Nectar contributions will be presented as oral presentations but not included in the conference proceedings.</span><br style="font-family: ArialMT;">
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<span style="font-family: ArialMT;">Key Dates and Deadlines</span><br style="font-family: ArialMT;">
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<span style="font-family: ArialMT;">EXTENDED Submission Deadline: ***** JULY 7th, 2025 *****</span><br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">Author Notification: July 21st, 2025</span><br style="font-family: ArialMT;">
<br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">*All deadlines expire on 23:59 AoE (UTC - 12)</span><br style="font-family: ArialMT;">
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<span style="font-family: ArialMT;">Submission Guidelines</span><br style="font-family: ArialMT;">
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<span style="font-family: ArialMT;">Submission site: </span><a href="https://cmt3.research.microsoft.com/ECMLPKDD2025" style="font-family: ArialMT;">https://cmt3.research.microsoft.com/ECMLPKDD2025</a><br style="font-family: ArialMT;">
<br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">Submissions must be extended abstracts of 2-4 pages (including references) and should be based on published work. The corresponding original publication(s) should be clearly indicated. The relevance of the work in the context
of machine learning and data mining should be clearly motivated.</span><br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">Submissions should be formatted according to the Author instructions, style files and copyright form that can be found in the “Lecture Notes in Computer Science” (LNCS) Series. submitted through the conference Microsoft CMT
submission site (select from the menu the Nectar track).</span><br style="font-family: ArialMT;">
<br style="font-family: ArialMT;">
<span style="font-family: ArialMT;">Contact</span><br style="font-family: ArialMT;">
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<span style="font-family: ArialMT;">For further information, please see the conference website or contact: </span><font face="ArialMT"><a href="mailto:ecml-pkdd-2025-nectar-track-chairs@googlegroups.com">ecml-pkdd-2025-nectar-track-chairs@googlegroups.com</a></font>
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<div>--<br>
Riccardo Guidotti<br>
Dipartimento di Informatica<br>
Università di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa<br>
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Mail: riccardo.guidotti@unipi.it</div>
Web: https://kdd.isti.cnr.it/people/guidotti-riccardo<br>
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KDD Lab, Room: 363</div>
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Phone:+39 050 221 3134</div>
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